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Book ; Thesis: Biomarker in der Intensivmedizin

Kunze, Julian

diagnostischer und prognostischer Wert von ADMA und SDMA bei kritisch kranken Patienten

2016

Author's details	vorgelegt von Julian Benedict Kunze
Language	German
Size	70 Seiten, Illustrationen, Diagramme
Publishing place	Aachen
Publishing country	Germany
Document type	Book ; Thesis
Thesis / German Habilitation thesis	Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2016
Note	Deutsche und englische Zusammenfassung
HBZ-ID	HT019071349
Database	Catalogue ZB MED Medicine, Health

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Book ; Online: Non-Holonomic RRT & MPC

Bojadžić, Damir / Kunze, Julian / Osmanković, Dinko / Malmir, Mohammadhossein / Knoll, Alois

Path and Trajectory Planning for an Autonomous Cycle Rickshaw

2021

Abstract: This paper presents a novel hierarchical motion planning approach based on Rapidly-Exploring Random Trees (RRT) for global planning and Model Predictive Control (MPC) for local planning. The approach targets a three-wheeled cycle rickshaw (trishaw) used ... ...

Abstract	This paper presents a novel hierarchical motion planning approach based on Rapidly-Exploring Random Trees (RRT) for global planning and Model Predictive Control (MPC) for local planning. The approach targets a three-wheeled cycle rickshaw (trishaw) used for autonomous urban transportation in shared spaces. Due to the nature of the vehicle, the algorithms had to be adapted in order to adhere to non-holonomic kinematic constraints using the Kinematic Single-Track Model. The vehicle is designed to offer transportation for people and goods in shared environments such as roads, sidewalks, bicycle lanes but also open spaces that are often occupied by other traffic participants. Therefore, the algorithm presented in this paper needs to anticipate and avoid dynamic obstacles, such as pedestrians or bicycles, but also be fast enough in order to work in real-time so that it can adapt to changes in the environment. Our approach uses an RRT variant for global planning that has been modified for single-track kinematics and improved by exploiting dead-end nodes. This allows us to compute global paths in unstructured environments very fast. In a second step, our MPC-based local planner makes use of the global path to compute the vehicle's trajectory while incorporating dynamic obstacles such as pedestrians and other road users. Our approach has shown to work both in simulation as well as first real-life tests and can be easily extended for more sophisticated behaviors. Comment: Submitted to IROS 2021, 6 pages, 4 figures
Keywords	Computer Science - Robotics
Subject code	629
Publishing date	2021-03-10
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Future Mobile Device Usage, Requirements, and Expectations of Physicians in German University Hospitals: Web-Based Survey.

Maassen, Oliver / Fritsch, Sebastian / Gantner, Julia / Deffge, Saskia / Kunze, Julian / Marx, Gernot / Bickenbach, Johannes

Journal of medical Internet research

2020 Volume 22, Issue 12, Page(s) e23955

Abstract: Background: The use of mobile devices in hospital care constantly increases. However, smartphones and tablets have not yet widely become official working equipment in medical care. Meanwhile, the parallel use of private and official devices in hospitals ...

Abstract	Background: The use of mobile devices in hospital care constantly increases. However, smartphones and tablets have not yet widely become official working equipment in medical care. Meanwhile, the parallel use of private and official devices in hospitals is common. Medical staff use smartphones and tablets in a growing number of ways. This mixture of devices and how they can be used is a challenge to persons in charge of defining strategies and rules for the usage of mobile devices in hospital care. Objective: Therefore, we aimed to examine the status quo of physicians' mobile device usage and concrete requirements and their future expectations of how mobile devices can be used. Methods: We performed a web-based survey among physicians in 8 German university hospitals from June to October 2019. The online survey was forwarded by hospital management personnel to physicians from all departments involved in patient care at the local sites. Results: A total of 303 physicians from almost all medical fields and work experience levels completed the web-based survey. The majority regarded a tablet (211/303, 69.6%) and a smartphone (177/303, 58.4%) as the ideal devices for their operational area. In practice, physicians are still predominantly using desktop computers during their worktime (mean percentage of worktime spent on a desktop computer: 56.8%; smartphone: 12.8%; tablet: 3.6%). Today, physicians use mobile devices for basic tasks such as oral (171/303, 56.4%) and written (118/303, 38.9%) communication and to look up dosages, diagnoses, and guidelines (194/303, 64.0%). Respondents are also willing to use mobile devices for more advanced applications such as an early warning system (224/303, 73.9%) and mobile electronic health records (211/303, 69.6%). We found a significant association between the technical affinity and the preference of device in medical care (χs2=53.84, P<.001) showing that with increasing self-reported technical affinity, the preference for smartphones and tablets increases compared to desktop computers. Conclusions: Physicians in German university hospitals have a high technical affinity and positive attitude toward the widespread implementation of mobile devices in clinical care. They are willing to use official mobile devices in clinical practice for basic and advanced mobile health uses. Thus, the reason for the low usage is not a lack of willingness of the potential users. Challenges that hinder the wider adoption of mobile devices might be regulatory, financial and organizational issues, and missing interoperability standards of clinical information systems, but also a shortage of areas of application in which workflows are adapted for (small) mobile devices.
MeSH term(s)	Computers, Handheld/standards ; Germany ; Hospitals, University ; Humans ; Internet/standards ; Mobile Applications/statistics & numerical data ; Physicians/standards ; Surveys and Questionnaires
Language	English
Publishing date	2020-12-21
Publishing country	Canada
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2028830-X
ISSN	1438-8871 ; 1439-4456
ISSN (online)	1438-8871
ISSN	1439-4456
DOI	10.2196/23955
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Future Medical Artificial Intelligence Application Requirements and Expectations of Physicians in German University Hospitals: Web-Based Survey.

Maassen, Oliver / Fritsch, Sebastian / Palm, Julia / Deffge, Saskia / Kunze, Julian / Marx, Gernot / Riedel, Morris / Schuppert, Andreas / Bickenbach, Johannes

Journal of medical Internet research

2021 Volume 23, Issue 3, Page(s) e26646

Abstract: Background: The increasing development of artificial intelligence (AI) systems in medicine driven by researchers and entrepreneurs goes along with enormous expectations for medical care advancement. AI might change the clinical practice of physicians ... ...

Abstract	Background: The increasing development of artificial intelligence (AI) systems in medicine driven by researchers and entrepreneurs goes along with enormous expectations for medical care advancement. AI might change the clinical practice of physicians from almost all medical disciplines and in most areas of health care. While expectations for AI in medicine are high, practical implementations of AI for clinical practice are still scarce in Germany. Moreover, physicians' requirements and expectations of AI in medicine and their opinion on the usage of anonymized patient data for clinical and biomedical research have not been investigated widely in German university hospitals. Objective: This study aimed to evaluate physicians' requirements and expectations of AI in medicine and their opinion on the secondary usage of patient data for (bio)medical research (eg, for the development of machine learning algorithms) in university hospitals in Germany. Methods: A web-based survey was conducted addressing physicians of all medical disciplines in 8 German university hospitals. Answers were given using Likert scales and general demographic responses. Physicians were asked to participate locally via email in the respective hospitals. Results: The online survey was completed by 303 physicians (female: 121/303, 39.9%; male: 173/303, 57.1%; no response: 9/303, 3.0%) from a wide range of medical disciplines and work experience levels. Most respondents either had a positive (130/303, 42.9%) or a very positive attitude (82/303, 27.1%) towards AI in medicine. There was a significant association between the personal rating of AI in medicine and the self-reported technical affinity level (H Conclusions: Physicians in stationary patient care in German university hospitals show a generally positive attitude towards using most AI applications in medicine. Along with this optimism comes several expectations and hopes that AI will assist physicians in clinical decision making. Especially in fields of medicine where huge amounts of data are processed (eg, imaging procedures in radiology and pathology) or data are collected continuously (eg, cardiology and intensive care medicine), physicians' expectations of AI to substantially improve future patient care are high. In the study, the greatest potential was seen in the application of AI for the identification of drug interactions, assumedly due to the rising complexity of drug administration to polymorbid, polypharmacy patients. However, for the practical usage of AI in health care, regulatory and organizational challenges still have to be mastered.
MeSH term(s)	Artificial Intelligence ; Female ; Hospitals, University ; Humans ; Internet ; Male ; Motivation ; Physicians ; Radiology ; Surveys and Questionnaires
Language	English
Publishing date	2021-03-05
Publishing country	Canada
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2028830-X
ISSN	1438-8871 ; 1438-8871
ISSN (online)	1438-8871
ISSN	1438-8871
DOI	10.2196/26646
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients.

Fritsch, Sebastian J / Blankenheim, Andrea / Wahl, Alina / Hetfeld, Petra / Maassen, Oliver / Deffge, Saskia / Kunze, Julian / Rossaint, Rolf / Riedel, Morris / Marx, Gernot / Bickenbach, Johannes

Digital health

2022 Volume 8, Page(s) 20552076221116772

Abstract: Objective: The attitudes about the usage of artificial intelligence in healthcare are controversial. Unlike the perception of healthcare professionals, the attitudes of patients and their companions have been of less interest so far. In this study, we ... ...

Abstract	Objective: The attitudes about the usage of artificial intelligence in healthcare are controversial. Unlike the perception of healthcare professionals, the attitudes of patients and their companions have been of less interest so far. In this study, we aimed to investigate the perception of artificial intelligence in healthcare among this highly relevant group along with the influence of digital affinity and sociodemographic factors. Methods: We conducted a cross-sectional study using a paper-based questionnaire with patients and their companions at a German tertiary referral hospital from December 2019 to February 2020. The questionnaire consisted of three sections examining (a) the respondents' technical affinity, (b) their perception of different aspects of artificial intelligence in healthcare and (c) sociodemographic characteristics. Results: From a total of 452 participants, more than 90% already read or heard about artificial intelligence, but only 24% reported good or expert knowledge. Asked on their general perception, 53.18% of the respondents rated the use of artificial intelligence in medicine as positive or very positive, but only 4.77% negative or very negative. The respondents denied concerns about artificial intelligence, but strongly agreed that artificial intelligence must be controlled by a physician. Older patients, women, persons with lower education and technical affinity were more cautious on the healthcare-related artificial intelligence usage. Conclusions: German patients and their companions are open towards the usage of artificial intelligence in healthcare. Although showing only a mediocre knowledge about artificial intelligence, a majority rated artificial intelligence in healthcare as positive. Particularly, patients insist that a physician supervises the artificial intelligence and keeps ultimate responsibility for diagnosis and therapy.
Language	English
Publishing date	2022-08-08
Publishing country	United States
Document type	Journal Article
ZDB-ID	2819396-9
ISSN	2055-2076
ISSN	2055-2076
DOI	10.1177/20552076221116772
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Future Mobile Device Usage, Requirements, and Expectations of Physicians in German University Hospitals

Maassen, Oliver / Fritsch, Sebastian / Gantner, Julia / Deffge, Saskia / Kunze, Julian / Marx, Gernot / Bickenbach, Johannes

Journal of Medical Internet Research, Vol 22, Iss 12, p e

Web-Based Survey

2020 Volume 23955

Abstract: BackgroundThe use of mobile devices in hospital care constantly increases. However, smartphones and tablets have not yet widely become official working equipment in medical care. Meanwhile, the parallel use of private and official devices in hospitals is ...

Abstract	BackgroundThe use of mobile devices in hospital care constantly increases. However, smartphones and tablets have not yet widely become official working equipment in medical care. Meanwhile, the parallel use of private and official devices in hospitals is common. Medical staff use smartphones and tablets in a growing number of ways. This mixture of devices and how they can be used is a challenge to persons in charge of defining strategies and rules for the usage of mobile devices in hospital care. ObjectiveTherefore, we aimed to examine the status quo of physicians’ mobile device usage and concrete requirements and their future expectations of how mobile devices can be used. MethodsWe performed a web-based survey among physicians in 8 German university hospitals from June to October 2019. The online survey was forwarded by hospital management personnel to physicians from all departments involved in patient care at the local sites. ResultsA total of 303 physicians from almost all medical fields and work experience levels completed the web-based survey. The majority regarded a tablet (211/303, 69.6%) and a smartphone (177/303, 58.4%) as the ideal devices for their operational area. In practice, physicians are still predominantly using desktop computers during their worktime (mean percentage of worktime spent on a desktop computer: 56.8%; smartphone: 12.8%; tablet: 3.6%). Today, physicians use mobile devices for basic tasks such as oral (171/303, 56.4%) and written (118/303, 38.9%) communication and to look up dosages, diagnoses, and guidelines (194/303, 64.0%). Respondents are also willing to use mobile devices for more advanced applications such as an early warning system (224/303, 73.9%) and mobile electronic health records (211/303, 69.6%). We found a significant association between the technical affinity and the preference of device in medical care (χs2=53.84, P<.001) showing that with increasing self-reported technical affinity, the preference for smartphones and tablets increases compared to desktop ...
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7 ; Public aspects of medicine ; RA1-1270
Subject code	600
Language	English
Publishing date	2020-12-01T00:00:00Z
Publisher	JMIR Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Future Medical Artificial Intelligence Application Requirements and Expectations of Physicians in German University Hospitals

Maassen, Oliver / Fritsch, Sebastian / Palm, Julia / Deffge, Saskia / Kunze, Julian / Marx, Gernot / Riedel, Morris / Schuppert, Andreas / Bickenbach, Johannes

Journal of Medical Internet Research, Vol 23, Iss 3, p e

Web-Based Survey

2021 Volume 26646

Abstract: BackgroundThe increasing development of artificial intelligence (AI) systems in medicine driven by researchers and entrepreneurs goes along with enormous expectations for medical care advancement. AI might change the clinical practice of physicians from ... ...

Abstract	BackgroundThe increasing development of artificial intelligence (AI) systems in medicine driven by researchers and entrepreneurs goes along with enormous expectations for medical care advancement. AI might change the clinical practice of physicians from almost all medical disciplines and in most areas of health care. While expectations for AI in medicine are high, practical implementations of AI for clinical practice are still scarce in Germany. Moreover, physicians’ requirements and expectations of AI in medicine and their opinion on the usage of anonymized patient data for clinical and biomedical research have not been investigated widely in German university hospitals. ObjectiveThis study aimed to evaluate physicians’ requirements and expectations of AI in medicine and their opinion on the secondary usage of patient data for (bio)medical research (eg, for the development of machine learning algorithms) in university hospitals in Germany. MethodsA web-based survey was conducted addressing physicians of all medical disciplines in 8 German university hospitals. Answers were given using Likert scales and general demographic responses. Physicians were asked to participate locally via email in the respective hospitals. ResultsThe online survey was completed by 303 physicians (female: 121/303, 39.9%; male: 173/303, 57.1%; no response: 9/303, 3.0%) from a wide range of medical disciplines and work experience levels. Most respondents either had a positive (130/303, 42.9%) or a very positive attitude (82/303, 27.1%) towards AI in medicine. There was a significant association between the personal rating of AI in medicine and the self-reported technical affinity level (H4=48.3, P<.001). A vast majority of physicians expected the future of medicine to be a mix of human and artificial intelligence (273/303, 90.1%) but also requested a scientific evaluation before the routine implementation of AI-based systems (276/303, 91.1%). Physicians were most optimistic that AI applications would identify drug interactions (280/303, 92.4%) to improve patient care substantially but were quite reserved regarding AI-supported diagnosis of psychiatric diseases (62/303, 20.5%). Of the respondents, 82.5% (250/303) agreed that there should be open access to anonymized patient databases for medical and biomedical research. ConclusionsPhysicians in stationary patient care in German university hospitals show a generally positive attitude towards using most AI applications in medicine. Along with this optimism comes several expectations and hopes that AI will assist physicians in clinical decision making. Especially in fields of medicine where huge amounts of data are processed (eg, imaging procedures in radiology and pathology) or data are collected continuously (eg, cardiology and intensive care medicine), physicians’ expectations of AI to substantially improve future patient care are high. In the study, the greatest potential was seen in the application of AI for the identification of drug interactions, assumedly due to the rising complexity of drug administration to polymorbid, polypharmacy patients. However, for the practical usage of AI in health care, regulatory and organizational challenges still have to be mastered.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7 ; Public aspects of medicine ; RA1-1270
Subject code	310
Language	English
Publishing date	2021-03-01T00:00:00Z
Publisher	JMIR Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Conference proceedings ; Online: UAV-borne remote sensing for AI-assisted support of search and rescue missions

Herschel, Reinhold / Wallrath, Patrick / Hofstätter, Michael / Taupe, Philip / Krüger, Emily / Philippi, Martina / Kunze, Julian / Rotter, Jan Michel / Heusinger-Heß, Victoria / Ari, Meral / Kastner, René / Al-Akrawi, Astrid

2022

Abstract: In search and rescue (SAR) missions every minute counts. Semi-collapsed buildings are among the difficult scenarios encountered by search and rescue teams. An UAV-based exploration system can provide crucial information on the accessibility of different ... ...

Abstract	In search and rescue (SAR) missions every minute counts. Semi-collapsed buildings are among the difficult scenarios encountered by search and rescue teams. An UAV-based exploration system can provide crucial information on the accessibility of different sectors, hazards, and injured people. The research project “UAV-Rescue” aims to provide UAV-borne sensing and investigate the use of AI to support this powerful tool. The sensor suite contains a radar sensor for detecting people based on breath and pulse movement. A neural network interprets the extracted data to identify signs of human life and as such persons that need rescuing. We also fuse radar and lidar data to explore the environment of the UAV and obtain a robust basis for simultaneous localization and mapping even under restricted visibility conditions. Additionally, we plan to use AI to support the path planning of the drone taking the digital map as input. Furthermore, AI is leveraged to map intact and damaged building structures. Potentially hazardous gases common to urban settings are tracked. We fuse the acquired information into a model of the explored area with marked locations of potential hazards and people to be rescued. The project also addresses ethical and societal issues raised by the use of UAVs close to people as well as AI supported decision making. The talk will present the system concept including interfaces and sensor fusion approaches. We will show first results of a research project from static and dynamic measurement campaigns demonstrating the capability of radar and lidar based sensing in a complex urban environment.
Subject code	910
Language	English
Publishing country	de
Document type	Conference proceedings ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: big data und smartphones auf der intensivstation. Wie Smartphone und Künstliche Intelligenz dabei helfen, beatmete Patienten zu behandeln

Marx, Gernot / Fritsch, Sebastian / Bickenbach, Johannes / Kunze, Julian / Maaßen, Oliver / Deffge, Saskia / Haferkamp, Silke / Schuppert, Andreas

gesundhyte.de

2020 Volume -, Issue 13, Page(s) 30

Language	German
Document type	Article
ZDB-ID	3044168-7
ISSN	2702-2544
Database	Current Contents Medicine

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Article ; Online: Elevated asymmetric dimethylarginine levels predict short- and long-term mortality risk in critically ill patients.

Koch, Alexander / Weiskirchen, Ralf / Kunze, Julian / Dückers, Hanna / Bruensing, Jan / Buendgens, Lukas / Matthes, Michael / Luedde, Tom / Trautwein, Christian / Tacke, Frank

Journal of critical care

2013 Volume 28, Issue 6, Page(s) 947–953

Abstract: Objective: Serum concentrations of asymmetric dimethylarginine (ADMA), an endogenous inhibitor of nitric oxide synthase, may contribute to endothelial dysfunction and organ failure in sepsis. We aimed at investigating ADMA levels as a potential ... ...

Abstract	Objective: Serum concentrations of asymmetric dimethylarginine (ADMA), an endogenous inhibitor of nitric oxide synthase, may contribute to endothelial dysfunction and organ failure in sepsis. We aimed at investigating ADMA levels as a potential diagnostic or prognostic biomarker in critically ill patients. Methods: Two hundred fifty-five patients (164 with sepsis, 91 without sepsis) were studied prospectively upon admission to the medical intensive care unit (ICU) and on day 7, in comparison to 78 healthy controls. ADMA serum concentrations were correlated with clinical data and extensive laboratory parameters. Patients' survival was followed up for up to 3 years. Results: ADMA serum levels were significantly elevated in critically ill patients at admission compared to controls. ADMA levels did not differ between patients with or without sepsis, but were closely related to hepatic and renal dysfunction, metabolism and clinical scores of disease severity. ADMA levels further increased during the first week of ICU treatment. ADMA serum levels at admission were an independent prognostic biomarker in critically ill patients not only for short-term mortality at the ICU, but also for unfavorable long-term survival. Conclusion: Serum ADMA concentrations are significantly elevated in critically ill patients, associated with organ failure and related to short- and long-term mortality risk.
MeSH term(s)	Adolescent ; Adult ; Aged ; Aged, 80 and over ; Arginine/analogs & derivatives ; Arginine/blood ; Biomarkers/blood ; Case-Control Studies ; Critical Illness/mortality ; Female ; Humans ; Intensive Care Units ; Male ; Middle Aged ; Multiple Organ Failure/blood ; Multiple Organ Failure/mortality ; Predictive Value of Tests ; Prognosis ; Prospective Studies ; Risk Factors ; Sepsis/blood ; Sepsis/mortality ; Severity of Illness Index ; Survival Rate
Chemical Substances	Biomarkers ; N,N-dimethylarginine (63CV1GEK3Y) ; Arginine (94ZLA3W45F)
Language	English
Publishing date	2013-12
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	632818-0
ISSN	1557-8615 ; 0883-9441
ISSN (online)	1557-8615
ISSN	0883-9441
DOI	10.1016/j.jcrc.2013.05.016
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